GSALightning

This package is for version 3.12 of Bioconductor; for the stable, up-to-date release version, see GSALightning.

Fast Permutation-based Gene Set Analysis


Bioconductor version: 3.12

GSALightning provides a fast implementation of permutation-based gene set analysis for two-sample problem. This package is particularly useful when testing simultaneously a large number of gene sets, or when a large number of permutations is necessary for more accurate p-values estimation.

Author: Billy Heung Wing Chang

Maintainer: Billy Heung Wing Chang <billyheungwing at gmail.com>

Citation (from within R, enter citation("GSALightning")):

Installation

To install this package, start R (version "4.0") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("GSALightning")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("GSALightning")
Vignette Title HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews BiologicalQuestion, DifferentialExpression, GeneExpression, GeneSetEnrichment, Software, Transcription
Version 1.18.0
In Bioconductor since BioC 3.3 (R-3.3) (8 years)
License GPL (>=2)
Depends R (>= 3.3.0)
Imports Matrix, data.table, stats
System Requirements
URL https://github.com/billyhw/GSALightning
Bug Reports https://github.com/billyhw/GSALightning/issues
See More
Suggests knitr, rmarkdown
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package GSALightning_1.18.0.tar.gz
Windows Binary GSALightning_1.18.0.zip
macOS 10.13 (High Sierra) GSALightning_1.18.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/GSALightning
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/GSALightning
Bioc Package Browser https://code.bioconductor.org/browse/GSALightning/
Package Short Url https://bioconductor.org/packages/GSALightning/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.12 Source Archive